智能化的平行实验方法

doi:10.16182/j.issn1004731x.joss.201709025

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (9): 2064-2072.doi: 10.16182/j.issn1004731x.joss.201709025

智能化的平行实验方法

陈彬¹, 邱晓刚¹, 王亦平²

1.国防科技大学信息系统与管理学院,湖南长沙 410073;
2.海军902厂,上海 200083

收稿日期:2017-05-10 发布日期:2020-06-02
作者简介:陈彬(1981-),男,安徽芜湖,博士,副研究员,研究方向为基于ACP的仿真运行支撑、平行实验方法等。
基金资助:
国家自然科学基金(71673292, 61503402),国家重点研发计划重点专项资金(2017YFC0803300),广东省舆情大数据分析与仿真重点实验室,上海市软件和集成电路产业发展专项资金(150312)

Intelligent ACP Based Experimental Approach

Chen Bin¹, Qiu Xiaogang¹, Wang Yiping²

1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;
2. The Naval Factory 902, Shanghai 200083, China

Received:2017-05-10 Published:2020-06-02

摘要/Abstract

摘要： ACP (Artificial Society,Computational Experiments,Parallel Execution)方法作为解决复杂系统研究分析问题的手段,已经在公共安全等领域发挥了重要的作用。随着大数据、智能学习、博弈方法等技术的发展,为解决研究中遇到的核心问题,提出一种智能化的平行实验方法,基于该方法讨论了在公共安全、生物威胁安防和联合作战实验方面的研究可能性。给出了方法在公共安全领域的案例,包括人群疏散案例、网络舆情案例以及化工区安防案例。基于案例进一步拓展智能化的平行实验方法在更多领域的应用和思考。

关键词: ACP方法, 智能化, 公共安全, 生物威胁, 作战实验

Abstract: As an approach to solve the problems in complex system research, ACP (Artificial Society, Computational Experiments, Parallel Execution) has played an important role in research fields such as public safety. With the development of information technologies such as big data, intelligent learning, game play theory, an intelligent ACP based experimental approach was proposed to solve the kernel problems in current complex system research. The possibility analysis of the approach in public safety, biological threats and joint combat experiments was illustrated. The applications including evacuation, network opinion and chemical industrial park security of the approach in safety science were given. As a result, the application and thinking of intelligent ACP based experimental approach in more research fields are needed in future work.

Key words: ACP, intelligent, public safety, biological threats, combat experiments

中图分类号:

TP391.9

陈彬, 邱晓刚, 王亦平. 智能化的平行实验方法[J]. 系统仿真学报, 2017, 29(9): 2064-2072.

Chen Bin, Qiu Xiaogang, Wang Yiping. Intelligent ACP Based Experimental Approach[J]. Journal of System Simulation, 2017, 29(9): 2064-2072.

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智能化的平行实验方法

Intelligent ACP Based Experimental Approach

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